CN116601632A - 油泵管理的多标签分类模型的联合学习 - Google Patents
油泵管理的多标签分类模型的联合学习 Download PDFInfo
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- CN116601632A CN116601632A CN202180080228.4A CN202180080228A CN116601632A CN 116601632 A CN116601632 A CN 116601632A CN 202180080228 A CN202180080228 A CN 202180080228A CN 116601632 A CN116601632 A CN 116601632A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/06—Control using electricity
- F04B49/065—Control using electricity and making use of computers
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
- G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/098—Distributed learning, e.g. federated learning
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Evolutionary Computation (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Mechanical Engineering (AREA)
- Computer Hardware Design (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Databases & Information Systems (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US17/123,088 | 2020-12-15 | ||
| US17/123,088 US12182771B2 (en) | 2020-12-15 | 2020-12-15 | Federated learning for multi-label classification model for oil pump management |
| PCT/IB2021/061237 WO2022130098A1 (en) | 2020-12-15 | 2021-12-02 | Federated learning for multi-label classification model for oil pump management |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116601632A true CN116601632A (zh) | 2023-08-15 |
Family
ID=81941542
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202180080228.4A Pending CN116601632A (zh) | 2020-12-15 | 2021-12-02 | 油泵管理的多标签分类模型的联合学习 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12182771B2 (https=) |
| JP (1) | JP7724861B2 (https=) |
| CN (1) | CN116601632A (https=) |
| DE (1) | DE112021005868T5 (https=) |
| WO (1) | WO2022130098A1 (https=) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7818908B2 (ja) * | 2021-07-14 | 2026-02-24 | キヤノンメディカルシステムズ株式会社 | 情報処理装置、情報処理システム、情報処理方法、及びプログラム |
| CN115623433B (zh) * | 2022-09-07 | 2025-11-25 | 山东电力工程咨询院有限公司 | 基于5g和联邦学习的整县光伏数据共享增值系统及方法 |
| KR102569454B1 (ko) * | 2022-12-06 | 2023-08-23 | 한국전자통신연구원 | 탈중앙 학습 환경에서의 클라이언트 모델 학습 방법 및 이를 수행하는 클라이언트 장치 |
| CN116432040B (zh) * | 2023-06-15 | 2023-09-01 | 上海零数众合信息科技有限公司 | 基于联邦学习的模型训练方法、装置、介质以及电子设备 |
| TW202509356A (zh) * | 2023-06-21 | 2025-03-01 | 義大利商沙斯格特斯公司 | 用於非蒸發型集氣真空泵之預測維護方法 |
| WO2025090070A1 (en) * | 2023-10-23 | 2025-05-01 | Halliburton Energy Services, Inc. | Real-time feedback and machine learning system for downhole environments |
| US20250392459A1 (en) * | 2024-06-25 | 2025-12-25 | Crossbar, Inc. | Backup and recovery system and methods for cryptocurrency hardware wallet |
Citations (4)
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| US20170308802A1 (en) * | 2016-04-21 | 2017-10-26 | Arundo Analytics, Inc. | Systems and methods for failure prediction in industrial environments |
| CN110245772A (zh) * | 2018-03-08 | 2019-09-17 | 通用电气公司 | 分析核心与聚合 |
| US20200240875A1 (en) * | 2019-01-25 | 2020-07-30 | Wipro Limited | Method and system for predicting failures in diverse set of asset types in an enterprise |
| US20200285980A1 (en) * | 2019-03-08 | 2020-09-10 | NEC Laboratories Europe GmbH | System for secure federated learning |
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| US6708163B1 (en) * | 1999-02-24 | 2004-03-16 | Hillol Kargupta | Collective data mining from distributed, vertically partitioned feature space |
| US7610264B2 (en) | 2005-02-28 | 2009-10-27 | International Business Machines Corporation | Method and system for providing a learning optimizer for federated database systems |
| US8401282B2 (en) | 2010-03-26 | 2013-03-19 | Mitsubishi Electric Research Laboratories, Inc. | Method for training multi-class classifiers with active selection and binary feedback |
| US8924313B2 (en) | 2010-06-03 | 2014-12-30 | Xerox Corporation | Multi-label classification using a learned combination of base classifiers |
| US8392343B2 (en) * | 2010-07-21 | 2013-03-05 | Yahoo! Inc. | Estimating probabilities of events in sponsored search using adaptive models |
| US10325220B2 (en) | 2014-11-17 | 2019-06-18 | Oath Inc. | System and method for large-scale multi-label learning using incomplete label assignments |
| JP6622497B2 (ja) * | 2015-07-22 | 2019-12-18 | ルネサスエレクトロニクス株式会社 | 故障予測装置および故障予測方法 |
| KR101827108B1 (ko) * | 2016-05-04 | 2018-02-07 | 두산중공업 주식회사 | 플랜트 이상 감지 학습 시스템 및 방법 |
| CN109716346A (zh) | 2016-07-18 | 2019-05-03 | 河谷生物组学有限责任公司 | 分布式机器学习系统、装置和方法 |
| US10460255B2 (en) | 2016-07-29 | 2019-10-29 | Splunk Inc. | Machine learning in edge analytics |
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| US11403540B2 (en) * | 2017-08-11 | 2022-08-02 | Google Llc | On-device machine learning platform |
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| US20200364608A1 (en) | 2019-05-13 | 2020-11-19 | International Business Machines Corporation | Communicating in a federated learning environment |
| CN111369042B (zh) | 2020-02-27 | 2021-09-24 | 山东大学 | 一种基于加权联邦学习的无线业务流量预测方法 |
| CN111382706B (zh) | 2020-03-10 | 2025-01-24 | 深圳前海微众银行股份有限公司 | 基于联邦学习的预测方法、装置、存储介质及遥感设备 |
| CN111798002A (zh) | 2020-05-31 | 2020-10-20 | 北京科技大学 | 一种局部模型占比可控的联邦学习全局模型聚合方法 |
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2020
- 2020-12-15 US US17/123,088 patent/US12182771B2/en active Active
-
2021
- 2021-12-02 DE DE112021005868.1T patent/DE112021005868T5/de active Pending
- 2021-12-02 WO PCT/IB2021/061237 patent/WO2022130098A1/en not_active Ceased
- 2021-12-02 CN CN202180080228.4A patent/CN116601632A/zh active Pending
- 2021-12-02 JP JP2023534934A patent/JP7724861B2/ja active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170308802A1 (en) * | 2016-04-21 | 2017-10-26 | Arundo Analytics, Inc. | Systems and methods for failure prediction in industrial environments |
| CN110245772A (zh) * | 2018-03-08 | 2019-09-17 | 通用电气公司 | 分析核心与聚合 |
| US20200240875A1 (en) * | 2019-01-25 | 2020-07-30 | Wipro Limited | Method and system for predicting failures in diverse set of asset types in an enterprise |
| US20200285980A1 (en) * | 2019-03-08 | 2020-09-10 | NEC Laboratories Europe GmbH | System for secure federated learning |
Also Published As
| Publication number | Publication date |
|---|---|
| DE112021005868T5 (de) | 2023-08-24 |
| US12182771B2 (en) | 2024-12-31 |
| JP7724861B2 (ja) | 2025-08-18 |
| JP2023553909A (ja) | 2023-12-26 |
| WO2022130098A1 (en) | 2022-06-23 |
| US20220188775A1 (en) | 2022-06-16 |
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